Digital Epidemiology: Leveraging Social Media for Insight into Epilepsy and Mental Health

Dahiya, Liza, Bagga, Rachit

arXiv.org Artificial Intelligence 

This study analyzes 57k posts and 533k comments to explore key themes across demographics such as age, gender, and relationships. Our findings highlight significant discussions on epilepsy-related challenges, including depression (with 39.75% of posts indicating severe symptoms), driving restrictions, workplace concerns, and pregnancy-related issues in women with epilepsy. We introduce a novel engagement metric, F(P), which incorporates post length, sentiment scores, and readability to quantify community interaction. This analysis underscores the importance of integrated care addressing both neurological and mental health challenges faced by PWE. The insights from this study inform strategies for targeted support and awareness interventions. The dataset and code are available at https://shorturl.at/neGz7

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